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Data · dataset · 2026

lightonai/embeddings-fine-tuning-multilingual-unfiltered

Listed in Hugging Face Datasets

Overview This dataset provides multilingual and code retrieval data for fine-tuning text embedding models.

Description

It is composed of high quality data sources with mined documents annotated with bi-encoder scores. For each query, the 2048 closest documents are mined with snowflake-arctic-embed-l-v2.0 for MIRACL and MLDR and with gte-modernbert-base for CodeEditSearchTrain, and annotated with their bi-encoder similarity score.

No false-negative filtering or cross-encoder annotation is… See the full description on the dataset page: huggingface.co/datasets/lightonai/embeddings-fine-tuning-multilingual-unfiltered.

Links

Documentation and papers

Catalogue records · 1

Topics

Inferred from text
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Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetslightonai/embeddings-fine-tuning-multilingual-unfiltered12 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0